IOT Based Facial Authentication System

Abstract

This paper presents the design and implementation of an IoT-based facial authentication system for secure and intelligent door access control.
The proposed system utilizes an ESP32-CAM module to capture images of individuals at the entrance and perform facial recognition for identity verification. The system is designed to enhance security by allowing only authorized access based on real-time authentication.
The system integrates multiple components, including an ESP32 microcontroller with built-in Wi-Fi for internet connectivity, an LCD display for user interaction, a speaker for audio alerts, and an ultrasonic sensor for detecting the presence of a person near the door. The ESP32 module performs image acquisition and processing, while also enabling communication with a mobile application or software interface.
For remote monitoring and control, the system sends a notification to the authorized user whenever a visitor is detected. The user can verify the visitor through the received data and remotely grant or deny access. Upon approval, the system activates the door unlocking mechanism; otherwise, access is restricted, ensuring safety and controlled entry.
The proposed system provides real-time monitoring, remote accessibility, and automated door control, making it a reliable and efficient solution for modern security needs.
The developed prototype demonstrates effective performance in facial recognition and access management, offering a cost-effective and scalable approach for smart homes and secure facilities.

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